Estimates the probability occurrences at a site are actually misidentifications without the need for a “gold standard” data set

Estimates the probability of presence and absence

How do I install enmSdmBayesLand?

In R:

install.packages('devtools') # if you haven't alreadydevtools::install_githib('adamlilith/enmSdmBayesLand')library(enmSdmBayesLand)

What kind of data does enmSdmBayesLand use?

esBL requires data on detections of a target species plus detections of “background” species which represent an index of search effort. The idea is that if the focal species were present, it would have a high chance of being collected among the “background” records.

Records are typically represented in a spatial format (e.g., a shapefile or SpatialPolygons object, a raster, or a data frame that can be coerced to one of these formats).

What kind of outputs does esBL produce?

esBL returns an object that is the same as the input (i.e., a raster, or a shapefile/SpatialPolygons object). The output has the same data as the input plus estimates for site-level occupancy, detection, and the probability of mis-identification. All estimates are provided as points (medians) plus spread (lower and upper highest posterior density interval limits). Examples:

The enmSdmBayesLopod model juxtaposes records of a species (top left) with sampling intensity (bottom left) to estimate the range (main panel). The model can utilize badly georeferenced specimens (this species has only 90 accurately-referenced records but the model uses 5300 records).

Can esBL incorporate spatial autocorrelation?

Yes, spatial autocorrelation can be incorporated in the detection and/or occupancy parts of the model. Examples: